<i>Euclid</i> : Finding strong gravitational lenses in the early release observations using convolutional neural networks

Nagam, B.C; Acevedo Barroso, J.A.; Wilde, J.; Andika, I.T; Manjón-García, A; Pearce-Casey, R; Stern, Daniel; Nightingale, J.W; A. Moustakas, Leonidas; McCarthy, Kathryn; Moravec, Emily; Leuzzi, L.; Rojas, K.; Serjeant, S.; E. Collett, Thomas; Matavulj, Predrag; Walmsley, Mike; Clément, B.; B. Metcalf, R.; Gavazzi, R.; B. Metcalf, R.; M. O’Riordan, Conor; Verdoes Kleijn, G.; Koopmans, L.V.E.; A. Valentijn, E.; Busillo, Valerio; Schuldt, S.; Courbin, F.; Vernardos, G.; Meneghetti, M.; Díaz‐Sánchez, A.; M. Diego, J.; Ecker, L.R; Thai, T.T.; Cooray, A.R.; M. Courtois, H.; Delchambre, L.; Despali, G.; Sluse, D.; Ulivi, L.; Maciel de Melo, Anely; Corcho-Caballero, Pablo; Altieri, B.; Amara, A; Andreon, S.; Auricchio, N.; Aussel, H.; Baccigalupi, C.; Baldi, M.; Balestra, A.

doi:10.1051/0004-6361/202554132

Public

<i>Euclid</i> : Finding strong gravitational lenses in the early release observations using convolutional neural networks

Published in Astronomy and Astrophysics • Sep 3, 2025

Authors:

B.C Nagam

J.A. Acevedo Barroso

J. Wilde

Abstract

Several new galaxy-galaxy strong gravitational lenses have been detected in the early release observations (ERO) from Euclid . The all-sky survey is expected to find 170 000 new systems, which are expected to greatly enhancing studies of dark matter and dark energy, and to constrain the cosmological...

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Open Access

Subject

Physics

Convolutional neural network

Astrophysics

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